Category: Machine Learning and AI
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Methods to improve model performance through feature selection and transformation
**Introduction** Your machine learning model works hard, but does it work smart? Feature selection and transformation are two powerful tools that make your models perform better. Think of your data like a messy room. You have useful items mixed with clutter. Feature selection helps you find and keep only the valuable items. Feature transformation reorganizes…
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Techniques for cleaning, transforming, and preparing datasets
Data cleaning, also called data cleansing or data scrubbing, fixes or removes incorrect, corrupted, or incomplete data from your datasets. You work with messy data every day. Your information comes from many sources, and not all of it is perfect. Some data has mistakes. Some data repeats itself. Some data just goes missing. When you…
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Detailed guide to TensorFlow, PyTorch, scikit-learn, and other tools
## Introduction Machine learning tools help you build smart programs that learn from data. You use these tools every day without knowing it. They power recommendation systems on Netflix, fraud detection at your bank, and voice assistants on your phone. Three major tools stand out in this field: scikit-learn, TensorFlow, and PyTorch. Scikit-learn is an…
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How to use Python for AI projects, including key libraries and setup
**Introduction** Python stands as the main programming language for artificial intelligence and data science work. You can create fully customized AI projects and products with it. Think of Python as your toolbox, filled with powerful tools that help you build smart machines and programs. Right now, AI is everywhere. Companies use it to spot spam…
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Overview of neural networks, layers, and deep learning architectures
**Introduction: Understanding Neural Networks and Deep Learning** Neural networks are computer systems that learn from data, just like your brain learns from experience. Think of them as digital brains made up of connected parts that work together to solve problems. Scientists created the first connectionist systems over 70 years ago, but deep learning really took…
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Core principles of machine learning, including supervised and unsupervised learning
**Introduction** Machine learning is a type of computer technology that learns from data without someone telling it exactly what to do. You give the computer examples, and it figures out patterns on its own. Think of it like teaching a friend to spot spam emails. You show them lots of examples of real emails and…
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Introduction to AI concepts, terminology, and how programming fits into AI development
# Introduction to AI Concepts, Terminology, and How Programming Fits into AI Development Artificial Intelligence, or AI, is technology that learns and makes decisions like humans do. You see AI every day when you use voice assistants, chat with chatbots, or watch Netflix suggest shows you might like. AI differs from old computer programs that…